Tuomo Valkonen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 31

Top Topics

Top Venues

J. Math. Imaging Vis.

SIAM J. Imaging Sci.

Publications

Ensio Suonperä, Tuomo Valkonen
Linearly convergent bilevel optimization with single-step inner methods. Comput. Optim. Appl. 87 (2) (2024)
Neil D. Dizon, Jyrki Jauhiainen, Tuomo Valkonen
Prediction techniques for dynamic imaging with online primal-dual methods. CoRR (2024)
Bjørn Jensen, Tuomo Valkonen
A nonsmooth primal-dual method with interwoven PDE constraint solver. Comput. Optim. Appl. 89 (1) (2024)
Tuomo Valkonen
Proximal methods for point source localisation. CoRR (2022)
Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen
Contact Adapting Electrode Model for Electrical Impedance Tomography. SIAM J. Appl. Math. 82 (2) (2022)
Bjørn Jensen, Tuomo Valkonen
A nonsmooth primal-dual method with simultaneous adaptive PDE constraint solver. CoRR (2022)
Jérémi Dardé, Nuutti Hyvönen, Topi Kuutela, Tuomo Valkonen
Electrodeless electrode model for electrical impedance tomography. CoRR (2021)
Tuomo Valkonen
Predictive Online Optimisation with Applications to Optical Flow. J. Math. Imaging Vis. 63 (3) (2021)
Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen
Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography. Comput. Aided Civ. Infrastructure Eng. 36 (12) (2021)
Tuomo Valkonen
Inertial, Corrected, Primal-Dual Proximal Splitting. SIAM J. Optim. 30 (2) (2020)
Kristian Bredies, Tuomo Valkonen
Inverse problems with second-order Total Generalized Variation constraints. CoRR (2020)
Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen
Relaxed Gauss-Newton methods with applications to electrical impedance tomography. CoRR (2020)
Jyrki Jauhiainen, Mohammad Pour-Ghaz, Tuomo Valkonen, Aku Seppänen
Non-planar sensing skins for structural health monitoring based on electrical resistance tomography. CoRR (2020)
Tuomo Valkonen
Predictive online optimisation with applications to optical flow. CoRR (2020)
Jyrki Jauhiainen, Petri Kuusela, Aku Seppänen, Tuomo Valkonen
Relaxed Gauss-Newton Methods with Applications to Electrical Impedance Tomography. SIAM J. Imaging Sci. 13 (3) (2020)
Christian Clason, Stanislav Mazurenko, Tuomo Valkonen
Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems. SIAM J. Optim. 29 (1) (2019)
Stanislav Mazurenko, Jyrki Jauhiainen, Tuomo Valkonen
Primal-dual block-proximal splitting for a class of non-convex problems. CoRR (2019)
Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models. J. Math. Imaging Vis. 57 (1) (2017)
Tuomo Valkonen, Thomas Pock
Acceleration of the PDHGM on Partially Strongly Convex Functions. J. Math. Imaging Vis. 59 (3) (2017)
Christian Clason, Tuomo Valkonen
Primal-Dual Extragradient Methods for Nonlinear Nonsmooth PDE-Constrained Optimization. SIAM J. Optim. 27 (3) (2017)
Artur Gorokh, Yury Korolev, Tuomo Valkonen
Diffusion Tensor Imaging with Deterministic Error Bounds. J. Math. Imaging Vis. 56 (1) (2016)
Tuomo Valkonen
Block-proximal methods with spatially adapted acceleration. CoRR (2016)
Artur Gorokh, Yury Korolev, Tuomo Valkonen
Diffusion tensor imaging with deterministic error bounds. CoRR (2015)
Konstantinos Papafitsoros, Tuomo Valkonen
Asymptotic Behaviour of Total Generalised Variation. SSVM (2015)
Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
Bilevel parameter learning for higher-order total variation regularisation models. CoRR (2015)
Luca Calatroni, Cao Chung, Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
Bilevel approaches for learning of variational imaging models. CoRR (2015)
Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen
Preconditioned ADMM with Nonlinear Operator Constraint. System Modelling and Optimization (2015)
Tuomo Valkonen
The Jump Set under Geometric Regularization. Part 1: Basic Technique and First-Order Denoising. SIAM J. Math. Anal. 47 (4) (2015)
Tuomo Valkonen, Thomas Pock
Acceleration of the PDHGM on strongly convex subspaces. CoRR (2015)
Juan Carlos de los Reyes, Carola-Bibiane Schönlieb, Tuomo Valkonen
The structure of optimal parameters for image restoration problems. CoRR (2015)
Michael Hintermüller, Tuomo Valkonen, Tao Wu
Models. SIAM J. Imaging Sci. 8 (4) (2015)
Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen
Imaging with Kantorovich-Rubinstein discrepancy. CoRR (2014)
Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen
Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. 7 (4) (2014)
Tuomo Valkonen
The jump set under geometric regularisation. Part 2: Higher-order approaches. CoRR (2014)
Tuomo Valkonen
The jump set under geometric regularisation. Part 1: Basic technique and first-order denoising. CoRR (2014)
Tuomo Valkonen, Kristian Bredies, Florian Knoll
Total Generalized Variation in Diffusion Tensor Imaging. SIAM J. Imaging Sci. 6 (1) (2013)
Tuomo Valkonen, Manfred Liebmann
GPU-accelererated regularisation of large diffusion-tensor volumes. Computing 95 (S1) (2013)
Tuomo Valkonen, Tommi Kärkkäinen
Clustering and the perturbed spatial median. Math. Comput. Model. 52 (1-2) (2010)
Tuomo Valkonen
Refined optimality conditions for differences of convex functions. J. Glob. Optim. 48 (2) (2010)
Roland Glowinski, Tommi Kärkkäinen, Tuomo Valkonen, Andriy Ivannikov
-Fitting: Convergence Study and Discussion of Related Issues. J. Sci. Comput. 37 (2) (2008)